Genetic algorithms (GAs) mimic natural selection to solve complex optimization problems across engineering, AI, and science. By evolving a population of solutions through selection, crossover, and ...

The optimisation of process planning has emerged as a pivotal aspect of modern manufacturing, where genetic algorithms (GAs) and hybrid techniques are leveraged to address the combinatorial complexity ...

AI-driven optimization of a solar-hydrogen system offers hospitals a sustainable energy solution, enhancing reliability and ...